We’ve released a round of improvements that make our sports tracking platform more flexible, more reliable, and easier to manage at scale. Every change is built on what we’ve learned from real-event usage and your feedback. We know RACEMAP has to scale that as your events grow.

Smarter Predictive Tracking

We’ve refined how we interpret raw data from the timing system. This solution reduces required settings for the timekeepers. So they can focus more on your participants’ experience.

Start Times

Observations: Previously, defining a too early start time caused dropping of valid readings as “too slow.” 

Solution: We’ve removed the fragile, user-defined start-time setup. Instead, RACEMAP now detects the start of each participant automatically from the raw data. This reduces human error and flexibly adapts to a wide variety of event formats. 

Finish Times

We’ve also implemented an auto-finish detection from raw data to ensure clean, accurate results: Finish reads are now automatically detected and added for smoother replays.

Improved M20 Tracker Communication

Some of our Indonesian users rely on superspring M20 trackers, which faced issues due to the GPS week rollover (a ~19.7-year reset of GPS time). This caused timestamps to appear ~20 years too early. 

We’ve added a correction protocol so that M20 trackers now report accurate, real-world dates. This ensures historical consistency and keeps your live data aligned with reality.

Scalable Tracker & Role Management

For teams and organizations that rent out trackers across seasons or manage large pools of devices, assigning and reviewing roles is now much easier. With our new approach it is much easier to control devices' access tracking the tracker management. 

• When selecting multiple trackers, you can now view all users and their roles across them.
• If a user isn’t linked to a tracker, the role shows as "None".
• Identical roles (e.g., Owner, Editor, Borrower) across trackers are consolidated for clarity.
• Edge cases (like multiple Editor assignments) are displayed transparently. 

Bulk Role Management

• Assign roles to multiple users at once across multiple trackers.
• Remove users from several trackers simultaneously.
• Quick role edits are now possible by clicking directly on a user’s role.

This update reduces administrative overhead, making tracker management scalable and future-proof for growing event organizations.

We’ve introduced a new enhancement in how RACEMAP Prediction flexibly identifies start- and finish reads. We’re confident timekeepers will love this simplification. 

Why this matters

After analyzing thousands of predictive tracking events going back over eight years, we found that one of the most common issues is incorrect start/finish setup - mostly due to human error. Since predictive tracking relies on precise timing information, even small mistakes affect the live experience.

What’s new

• Auto-identification of start- & finish reads directly from forwarded detections
• No additional configuration or imported start/finish times from participant data required
• "Start" is automatically identified backwards with the 2nd detection on the racecourse

Easy configuration of RACEMAP prediction

• Our algorithm automatically places reads at the most likely position on the course - even for laps, loops, or out-&-back segments.
• With RACE RESULT readers, detections already include the locations, so setup has always been minimal.

How it works with different timing systems

• ChronoTrack, MyLaps, RaceTec, and similar: These timing systems do not forward decoder locations. RACEMAP uses the split configuration to assign detections.
• Fewer splits needed: Just group decoders by their physical location (e.g. one single split for “Start / Finish”) 

Advantages for timekeepers

• Less setup required: Quicker & easier event preparation
• Fewer opportunities for mistakes
• More reliable predictive tracking: Even for large-scale running vents with thousands of participants

Predictive tracking uses sporadic split detections from timing systems to estimate participant positions, creating a smooth, realistic live visualization of a race - without requiring every participant to carry a GPS device.

The converter bridges timing systems with RACEMAP. It ingests detections from MYLAPS or ChronoTrack, transforms them into the required format, and forwards them to RACEMAP so the platform can compute and display real-time predictions seamlessly.

Quick Setup: Follow the guide to configure the forwarder for your timing system:
https://docs.racemap.com/predictive-tracking-with-data-from-timekeeping/other-timing-sytem/2-racemap-forwarder-new

Unified Live View: Combine predictive tracking with GPS devices or the RACEMAP app in one integrated visualization.

Check out the documentation and reach out if you’d like a demo or need assistance with integration.

Missed our live session on Predictive Live Tracking?

Catch the full webinar featuring Jens as he unveils our new dashboard for real-time predictive tracking. The session covers every stage of race management:

• Before: Setup and preparation
• During: Live monitoring and adjustments
• After: Performance analysis and prediction accuracy review

We are excited to announce that adjustable parameters have been added to the predictive live tracking system, giving you greater control and flexibility in fine-tuning your model's settings. 

Key Benefits:

• Instant Feedback: Modify parameters and instantly see how the forecasting model would have predicted a past event. 
• Deep Analysis: Gain a more detailed understanding of historical events by experimenting with different model conditions. 
• Enhanced Insight: Explore the model’s real-time response to various dynamic scenarios and improve your overall predictive performance.

This hands-on approach not only allows you to tailor the model to your specific needs but also provides valuable insights into its sensitivity and performance. Enjoy experimenting with these new features and elevate your data analysis experience!

We're excited about our upcoming webinar for timekeepers & event organizers who want to take their timing data to the next level. Discover how RACEMAP’s real-time visualization displays your entire race at a glance, while our advanced heuristics provide insights and continuously enhance our algorithm to keep the forecast ahead.

Webinar Highlights:

• Predictive Tracking Setup: Learn how to integrate predictive tracking directly within RACEMAP.
• Seamless Integration: See how forward reads from your timing system are effortlessly combined.
• Live Monitoring & Analysis: Understand how to monitor live predictions during the race and analyze results afterward.

Webinar Details:

• 1st Date: Thursday, March 27th, 3 p.m. CET (Berlin) – Approx. 40 minutes
• 2nd Date: Monday, March 31st, 9 a.m. CET

Secure your spot now as spaces are limited:
https://racemap.com/webinar-prediction

Have questions about predictive tracking? ... drop them in the comments!

Our latest release brings many enhancements for our predictive tracking solution: Your timing data now appears more lifelike, allowing you to dive into the data and optimize predictions even during the race.

Backend-Driven Filtering 

• Improved Performance & Reliability: We’ve moved the reader ID and transponder ID filters to the backend. 
• Unified Reads Display: The reads tab now consolidates all detections within the set event times into one comprehensive table.

Improved Start Time Insights

• Enhanced Transparency for Start Times: We identified issues with start times in prediction events, especially those with many participants. 
• New Block in Status: A dedicated block has been added to the prediction setup’s status section to indicate potential issues with participant start times. 
• Scenario Differentiation: The new block differentiates between various start time scenarios.

Enhanced Analysis Section

• New Identifier Column: New column displaying userId | customerId has been added for each starter.
• Improved Read Source Identification: This update helps resolve cases where some reads in the analysis section weren’t visible in the reads section. Knowing the customerId of the reads allows users to better identify the source and adjust event settings accordingly.

New users of predictive live tracking like to check and validate settings before a race to ensure everything runs smoothly. We’ve now enabled test data visibility in the Prediction dashboard > Reads tab. 

Like if you're using RACE RESULT 12, you can run a race simulation while forwarding data to RACEMAP and see the simulated data in real-time. 

To keep real detections clean, test data is only displayed when the “Show Test Data” switch is enabled. This update helps you fine-tune your setup with confidence before race day. Try it out! 

We’re excited to introduce new enhancements that make our tracking platform even more powerful and user-friendly for you. Here’s what’s new:

1. Seamless Device Onboarding

Adding new devices to the tracker dashboard is now faster & easier! You can directly assign them to an existing tag or collection - or create a new one instantly. This improvement streamlines onboarding your new GPS trackers and helps you easily manage the new alongside existing devices.

Add GPS Trackers

2. New Integrations Tab

The new Integrations tab introduces support for RACE RESULT event IDs. With this enhancement, you can:

• Import and synchronize participants' data via simple API effortlessly.
• Embed RACE RESULT leaderboards directly.
• Seamlessly integrate online registration.

3. Enhanced Device Management

Managing devices within tags and collections is now more intuitive, simplifying your daily operations.

4. Optimized Predictive Live Tracking 

Our upgraded predictive live tracking algorithm delivers greater accuracy by mapping each detection to a single location within a defined range. This reduces unnecessary mappings while still supporting multiple laps or shadowtrack segments when needed. The first screenshot highlights the impact of the improved filter on reducing mapped locations.

We’re excited to share the next improvement to our predictive live tracking. This update refines the speed graphs (Set speed, Live speed, and Replay speed) in the analysis section of prediction, ensuring clearer & more actionable insights. 

In March, we introduced a new "jumping dots"-feature (beta) to address the discrepancy between the forecast of our prediction and the latest data from the timekeeping system. This feature quickly adjusts the dots' locations according to sporadic timing updates and the dots "jump" to the latest known location. Learn more about this feature in our previous announcement: https://updates.racemap.com/enhanced-predictive-live-tracking-with-jumping-dots-3152ik 

We observed that the live speed graph displayed sharp peaks when dots were jumping, showing maximum speed values up to 1000 km/h that overshadowed the regular speed data. This made normal speed values hard to see and impossible to interpret. 

We’ve now resolved this issue! The speed chart is more balanced, making it easy to read, analyze, and understand the data.